Object Segmentation​

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In order to grasp granular characteristics about an object, our segmentation techniques generate pixel-wise masks for each object. While semantic segmentation processes apply a label to each pixel in an image, considering multiple objects of the same class as a single entity, instance segmentation processes treat multiple objects of the same class as different individual objects (or instances).​

Divide & Deduce​

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Image segmentation helps divide a digital image into various segments (regions or categories) based on its attributes and features.

The primary goal of every segmentation method is to simplify the image by precisely delineating it from within the visual data and make it more understandable and easier to examine.​

Intelligent solutions around Object Segmentation​ ​

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With use cases including applications like facial segmentation to determine age, gender etc.  medical imaging, land use pattern understanding, traffic analysis and many more.

The precise deduction of meaningful information from visual data makes the process immensely useful for driving intelligence in systems.​

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Object Segmentation for Analyzing Exterior Scenes

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Frames of the video from an exterior scene analysed in real-time by Vision AI

Object Segmentation for Analyzing Interior Scenes

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Frames of the video from an interior scene analysed in real-time by Vision AI
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Tools

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Insights into

Object Segmentation​

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Case Studies

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Sports & Player Management Case Study

Tooliqa combined knowledge about immersive experiences, IOT, and remote monitoring to develop Live Video Analytics for a football and basketball match, implementing object detection and tracking using deep learning. This was done using in-house knowledge of the sports industry and advanced technologies relevant in this case.

See Case Study

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